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Data Automation Jobs in Seattle, WA (NOW HIRING)

Team Red Dog

Content Automation Engineer

Redmond, WA · On-site

Team Red Dog is hiring a Content Automation Engineer for our client, a global productivity and ... Data Analysis & Technical Recommendations - Demonstrated ability to analyze testing results ...

Team Red Dog

Content Automation Engineer

Redmond, WA · On-site

Team Red Dog is hiring a Content Automation Engineer for our client, a global productivity and ... Data Analysis & Technical Recommendations - Demonstrated ability to analyze testing results ...

PitchBook Data

Lead Data Engineer

Seattle, WA

$130K - $156K/yr

Strong Python experience for data processing, automation, and pipeline development * Proven experience building and maintaining ETL/ELT pipelines (batch and event driven) and data workflows

Team Red Dog

Senior Software Automation Engineer

Redmond, WA · Remote

$116K - $152K/yr

Working with backend software, data pipelines, APIs, telemetry systems, and validation frameworks, you'll create reliable automation that enables engineering teams to operate more efficiently while ...

Team Red Dog

Senior Software Automation Engineer

Redmond, WA · On-site

$116K - $152K/yr

Working with backend software, data pipelines, APIs, telemetry systems, and validation frameworks, you'll create reliable automation that enables engineering teams to operate more efficiently while ...

Aquent

AI Engineer - Automation/Robotics 3

Redmond, WA · On-site +1

$83.83 - $93.14/hr

Integrate data from internal systems, databases, work tracking tools, spreadsheets, and document ... Modify and improve existing automation tools to meet new standards, requirements, and operating ...

Aquent

Content Automation Specialist

Redmond, WA · On-site +1

$37 - $42/hr

Automation & Tooling:** * Develop and implement sophisticated automated testing workflows and ... Data & Optimization:** * Analyze complex testing metrics and operational data to pinpoint critical ...

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How much do data automation jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for data automation in Seattle, WA is $50.55, according to ZipRecruiter salary data. Most workers in this role earn between $31.22 and $72.33 per hour, depending on experience, location, and employer.

What is data automation?

Data automation in a job context involves using software tools and scripts to automatically collect, process, and manage data, reducing manual effort and increasing efficiency. Data automation specialists often work with programming languages, databases, and automation platforms to streamline data workflows and ensure accuracy.

What are typical responsibilities of a Data Automation professional on a day-to-day basis?

Data Automation professionals are responsible for designing, developing, and maintaining automated workflows that process, cleanse, and move large sets of data across various platforms. On a daily basis, they may create scripts, monitor data pipelines, troubleshoot integration issues, and optimize processes for better efficiency. They frequently collaborate with data analysts, engineers, and business teams to ensure that automated systems align with company goals and provide accurate, timely data. This dynamic environment allows for continuous learning and contributes significantly to data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive in the Data Automation position, and why are they important?

To excel in Data Automation, you generally need strong analytical skills, fluency with data manipulation, and a background in computer science, data engineering, or a related field. Familiarity with tools such as Python, SQL, ETL platforms, and automation frameworks, as well as relevant certifications like Certified Data Professional (CDP), is highly valued. Problem-solving abilities, attention to detail, and effective collaboration are essential soft skills for this role. These qualifications enable professionals to efficiently streamline data processes, reduce manual errors, and deliver reliable, scalable solutions for business intelligence.

What is a Data Automation job?

A Data Automation job involves designing, developing, and maintaining automated systems to collect, process, and analyze data efficiently. Professionals in this role use programming, scripting, and data integration tools to streamline workflows and reduce manual effort. They work with databases, ETL processes, APIs, and automation frameworks to ensure data accuracy and accessibility. The goal is to improve efficiency, reduce errors, and enable data-driven decision-making. This role is common in industries such as finance, healthcare, e-commerce, and technology.

What is the highest paying data job?

The highest paying data jobs typically include Data Engineering Manager, Data Architect, and Chief Data Officer roles, which often require advanced skills in data architecture, leadership, and experience with tools like cloud platforms and big data technologies. These positions can offer salaries exceeding $150,000 annually, depending on industry and location.

Is AI automation a good career?

AI automation is a growing field with increasing demand for professionals skilled in data automation, machine learning, and programming. Careers in this area often require knowledge of tools like Python, R, and automation platforms, and can offer opportunities in various industries such as finance, healthcare, and technology. It is considered a promising career path due to ongoing technological advancements and the expanding role of AI in business processes.
What are popular job titles related to Data Automation jobs in Seattle, WA? For Data Automation jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Automation jobs in Seattle, WA look for? The top searched job categories for Data Automation jobs in Seattle, WA are:
Data Automation jobs near you
Infographic showing various Data Automation job openings in Seattle, WA as of July 2026, with employment types broken down into 6% Internship, 64% Full Time, 6% Temporary, and 24% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $105,135 per year, or $50.5 per hour.
Finance Analytics & AI Senior Consultant

Finance Analytics & AI Senior Consultant

Deloitte

Seattle, WA • On-site

$132K/yr

Full-time

Re-posted 23 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services

Job description

Job Summary:
Deloitte helps navigate complexity in finance and global business services by providing integrated solutions and deep industry insights. As a Finance Analytics & AI Senior Consultant, you'll support the design and delivery of finance transformation solutions that leverage data, automation, and AI capabilities.
Responsibilities:
• Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
• Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations
• Analyze business, functional, and technical requirements and translate them into solution designs, workflows, and implementation plans
• Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
• Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications
• Identify delivery risks, track dependencies, and support project execution across cross-functional teams
Qualifications:
Required:
• 4+ years of experience delivering analytics, machine learning, automation, data, or generative and agentic AI solutions
• Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments
• Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
• Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
• Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics
• Experience deploying machine learning or generative and agentic AI solutions into production environments
• Experience with Databricks, Apache Spark, Snowflake, TensorFlow, PyTorch, or scikit-learn
• Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
• Experience with Tableau or Microsoft Power BI
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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